Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation

Zhou Zang, Yushan Guo, Yize Jiang, Chen Zuo, Dan Li, Wen Zhong Shi, Xing Yan

Research output: Journal article publication › Journal article › Academic research › peer-review

Original language	English
Article number	102516
Number of pages	10
Journal	International Journal of Applied Earth Observation and Geoinformation
Volume	103
Issue number	2021
Publication status	Published - 29 Aug 2021

Cite this

@article{94844ebe36824755818324a223b97224,

title = "Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation",

author = "Zhou Zang and Yushan Guo and Yize Jiang and Chen Zuo and Dan Li and Shi, {Wen Zhong} and Xing Yan",

year = "2021",

month = aug,

day = "29",

language = "English",

volume = "103",

journal = "International Journal of Applied Earth Observation and Geoinformation",

issn = "1569-8432",

publisher = "Elsevier",

number = "2021",

}

Research output: Journal article publication › Journal article › Academic research › peer-review

TY - JOUR

T1 - Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation

AU - Zang, Zhou

AU - Guo, Yushan

AU - Jiang, Yize

AU - Zuo, Chen

AU - Li, Dan

AU - Shi, Wen Zhong

AU - Yan, Xing

PY - 2021/8/29

Y1 - 2021/8/29

M3 - Journal article

SN - 1569-8432

VL - 103

JO - International Journal of Applied Earth Observation and Geoinformation

JF - International Journal of Applied Earth Observation and Geoinformation

IS - 2021

M1 - 102516

ER -